AI Education!
Six Theses on the Relationship Between Artificial Intelligence, Education, and Society: An Interdisciplinary Perspective
Given the far-reaching social integration of AI systems, education must undergo fundamental change. We – Marc Berges, Annika Eickhoff-Schachtebeck, Dieter Engbring, Harald Gapski, Carsten Schulte, Kerstin Strecker, and Dan Verständig – summarise these necessary transformations under the term AI Education, outlined below in six theses. We call for a demystification of AI debates in the spirit of digital enlightenment, emphasising a critical, reflective, and multi-perspective approach, while rejecting technology-deterministic and solutionist responses to educational and societal challenges. As a normative framework for shaping AI Education, we propose aligning it with the goals of education for sustainable development. In the context of computer science education, we advocate combining creative-design and analytical-interpretive methods and present architectural and relevance-based perspectives on AI systems. Finally, we underscore the political significance of participation and co-design in AI Education. With these theses, we aim to address the interconnected technological, individual, and societal dimensions, foster interdisciplinary dialogue, and bridge diverse disciplinary perspectives.
The full text (German and English version) can be found here:
Berges, Marc, Annika Eickhoff-Schachtebeck, Dieter Engbring, Harald Gapski, Carsten Schulte, Kerstin Strecker, and Dan Verständig. 2025. «AI Education! Six Theses on the Relationship Between Artificial Intelligence, Education, and Society: An Interdisciplinary Perspective». MedienPädagogik (Statements and Frameworks): 1–17. https://doi.org/10.21240/mpaed/00/2025.07.07.X.
Image (top) created with ChatGPT/Sora from OpenAI